| Veranstaltungsname | Vorlesung: Lecture: Machine Learning and Data Mining |
| Untertitel | Module: Machine Learning and Data Mining |
| Veranstaltungsnummer | 21594_S18 |
| Semester | SoSe 18 |
| Aktuelle Anzahl der Teilnehmenden | 69 |
| Heimat-Einrichtung | E-16 Softwaresysteme |
| Veranstaltungstyp | Vorlesung in der Kategorie Lehre |
| Erster Termin | Dienstag, 03.04.2018 08:00 - 09:30 |
| Voraussetzungen | #NAME? |
| Leistungsnachweis |
Written exam |
| ECTS-Punkte | 4 |
- Decision trees
- First-order inductive learning
- Incremental learning: Version spaces
- Uncertainty
- Bayesian networks
- Learning parameters of Bayesian networks
BME, MAP, ML, EM algorithm- Learning structures of Bayesian networks
- Gaussian Mixture Models
- kNN classifier, neural network classifier, support vector machine (SVM) classifier
- Clustering
Distance measures, k-means clustering, nearest neighbor clustering- Kernel Density Estimation
- Ensemble Learning
- Reinforcement Learning
- Computational Learning Theory
- Artificial Intelligence: A Modern Approach (Third Edition), Stuart Russel, Peter Norvig, Prentice Hall, 2010, Chapters 13, 14, 18-21
- Machine Learning: A Probabilistic Perspective, Kevin Murphy, MIT Press 2012
